How to Pass Props to a Component in React

Pass Props to a Component in React

When I first started working with React more than a decade ago, one of the concepts that immediately stood out to me was props. I’ve used props in countless projects, from dashboards for U.S. retail companies to internal HR tools. And every single time, props helped me keep my components reusable and my code clean. … Read more >>

React Component Lifecycle Methods with Examples

React Component Lifecycle Methods Examples

When I first started working with React, I often struggled to understand when and why certain methods were called. At that time, debugging felt like chasing shadows; sometimes my component updated as expected, and sometimes it didn’t. Over the years, I learned that understanding the lifecycle methods is the key to building predictable and optimized … Read more >>

TensorFlow Data Pipelines with tf.data

TensorFlow Data Pipelines tf.data

Building efficient data pipelines is one of the most overlooked aspects of training machine learning models. While we often focus on model architectures and hyperparameters, the flow of data can make or break the performance of a training loop. Feeding data inefficiently into GPUs or TPUs can create bottlenecks, slowing down training and reducing scalability. … Read more >>

Load and Preprocess Datasets with TensorFlow

Load and Preprocess Datasets TensorFlow

Data is the foundation of every machine learning project. Before any model can learn, we must carefully prepare the dataset: loading it efficiently, cleaning it, scaling it, and sometimes augmenting it to improve model generalization. In TensorFlow, managing data pipelines is not just a side task; it directly affects training speed, memory usage, and final … Read more >>

Basic TensorFlow Constructs: Tensors and Operations

Basic TensorFlow Constructs Tensors and Operations

TensorFlow has become one of the most widely used frameworks for deep learning and machine learning. The heart of TensorFlow is tensors and the operations we can perform on them. If you think of deep learning models as giant equations, then tensors are the variables carrying data, while tensor operations are the math and transformations that turn raw inputs … Read more >>

Convert Month Name to Number in Python

dataframe to tensor

When I first started working with date-related data in Python, one of the most common problems I ran into was converting month names into numbers. For example, I often received data files where months were written as “January”, “Feb”, or “Sept”. But for analysis, I needed them as numbers like 1, 2, or 9. Over … Read more >>

How to Convert a List to a Tensor in TensorFlow

tf convert to tensor

When I first started working with TensorFlow, one of the things that confused me was how to take a regular Python list and turn it into a tensor. It sounds simple, right? But when you’re dealing with machine learning models, you often get data in lists or arrays, and you need to convert them into … Read more >>

How to Build Perceptron in Python?

Mathematical Model of Perceptron

If you are a deep learning or machine learning enthusiast, you must know how to build Perceptron in Python, which is the foundation of creating AI, machine learning models, etc. I will explain the perceptron in depth with an example. You will understand how the perceptron works: it takes the input, processes the input, and … Read more >>

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